{"id":"W6990038509","doi":"","title":"Controls on nutrient availability in black spruce forests of northwestern Quebec","year":2001,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chronosequence; Sphagnum; Nutrient; Moss; Black spruce; Organic matter; Forest floor; Abundance (ecology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003735899,0.0002609728,0.000304588,0.0009944845,0.001826423,0.001136001,0.0007625783,0.0003125741,0.002556874],"category_scores_gemma":[0.0007088029,0.0001548453,0.0001979955,0.001065095,0.0006735258,0.0002567537,0.0003426083,0.0003048751,0.000189685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02307209,"about_ca_system_score_gemma":0.007271016,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9912083,"about_ca_topic_score_gemma":0.9971106,"domain_scores_codex":[0.9996852,0.00003755012,0.0000107862,0.00008686449,0.00005540204,0.0001241583],"domain_scores_gemma":[0.9989784,0.0001152307,0.0001589361,0.00003807867,0.0004220555,0.0002872896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004896969,0.0001130097,0.9643918,0.00005380399,0.0001534454,0.0003683435,0.001833502,0.0009175527,0.01489709,0.000467967,0.002036465,0.01427736],"study_design_scores_gemma":[0.000004647204,0.00001155725,0.9979277,0.000006887341,0.000008026371,0.00001581437,0.0004147449,0.0003878444,0.000107026,0.00001589607,0.001093449,0.000006391009],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958296,0.0004133554,0.00009116996,0.0001087883,0.000009268737,0.00001557103,0.00125139,0.00001931428,0.002261536],"genre_scores_gemma":[0.9973714,0.0001065691,0.0001347594,0.00004564526,0.000002473619,0.00000800304,0.0005979159,0.00000639142,0.001726791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02307209,"threshold_uncertainty_score":0.1674005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020146314769726,"score_gpt":0.2286389277162409,"score_spread":0.2184374645685436,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}